Agentic AI - 1

2026 (7)

June (7)

security: Securing AI agents: When AI tools move from reading to acting

Microsoft Security Blog

2026-06-30

The post explains MCP tool poisoning as an attack that can turn trusted AI agents into a control plane for data loss. It describes how attackers manipulate tool descriptions to induce unauthorized actions, and outlines detection, containment, and prevention approaches.

commandline: The durable asset is the loop you own. OpenEnv is its protocol.

Microsoft Command Line Blog

2026-06-19

The article argues that the durable asset in agentic AI is the learning loop, not the rented model, and presents OpenEnv as the protocol for reinforcement learning environments. It positions OpenEnv around owning and standardizing the environment/evaluation loop for recursive self-improvement.

security: Beyond the benchmark: Advancing security at AI speed

Microsoft Security Blog

2026-06-17

Microsoft Security says it has advanced its agentic vulnerability detection system, MDASH, and integrated it into workflows across Windows, Azure, and identity systems. The post focuses on applying the system in real-world security operations rather than benchmark results.

azure: [Launched] Generally Available: Microsoft Discovery

Azure Updates

2026-06-04

Microsoft Discovery is now generally available. It provides an enterprise platform for building and governing agentic AI workflows for research and development across scientific and engineering disciplines.

azure: [In preview] Public Preview: Azure SQL as a knowledge source in Foundry IQ

Azure Updates

2026-06-04

Azure SQL Database is now available in public preview as a first-class Knowledge Source in Azure AI Search / Foundry IQ. This lets developers and architects use authoritative SQL tables as a source for Copilot, RAG, and agentic experiences.

security: Updating the taxonomy of failure modes in agentic AI systems: What a year of red teaming taught us

Microsoft Security Blog

2026-06-04

Microsoft Security Blog says a year of red teaming agentic AI systems led to an updated failure-mode taxonomy. The update adds seven new failure modes, including supply chain compromise and goal hijacking, along with recommended mitigations.

commandline: Introducing Command Line, and the new rules for builders

Microsoft Command Line Blog

2026-06-02

Microsoft introduces a new “rules for builders” framing around agentic AI development, saying the traditional software development lifecycle is no longer sufficient. The post positions the guidance as a shift in workflows and mindset for building with AI agents.